PPT-Shape Classification

Alex Yakubovich Elderlab Oct 7 2011 John Wilder Jacob Feldman Manish Singh Superordinate shape classification using natural shape statistics Cognition Volume 119 Issue 3 June 2011 Pages 325340. S. M. Ali Eslami. Nicolas Heess. John Winn. CVPR. . 2012. Providence, Rhode Island. A Strong Model of Object Shape. What do we mean by a model of shape?. A probabilistic distribution:. Defined on . binary. Object Segmentation. Jaechul Kim and Kristen . Grauman. University of Texas at Austin. Problem statement. Category-independent object segmentation: . Generate object segments in the image . regardless of their categories.. j. then press F5 or click . Slide Show . > . From Beginning . to start the course. . In the message bar, click . Enable Editing. , . If the videos in this course don’t play, you may need to . download QuickTime. Grade 9 Math. Visualizing and modeling . E5 Solve problems using 3D shapes using visualization, reasoning and geometric modeling . To review for this lesson…. What is a . _____________. :. A 2D shape, with angles and straight sides . Shindig. In my new school. . there is a rule….. Monsters can’t shout. . ‘til lights go out!. Classroom’s clean. Shiny latrine.. Spotless floor.. from Fourier to Wavelets. Ming . Zhong. 2012.9. Overview (1). Harmonic analysis basics. Represent signals as the linear combination of basic overlapping, wave-like functions. Natural domain (space/time). Gianluca Minnella. Yuniesky Rodriguez. Jose Ugas. Design, construction and testing of an optimal winglet configuration.. Problem Statement. Dr. George . Dulikravich. De-strengthening of tip vortices . Ms. Blalock, Ms. Hartsell and Mr. Luckman. Do Now (. 1. 0-12 min. ). Go to engradepro.com. Click on your Living Environment . class period. Click on “tests a. nd quizzes”. Click on “Final Exam”. Processing. Part . III. Example Applications. Martin Bokeloh. Niloy. . Mitra. Michael Wand . Hao. Zhang Daniel Cohen-Or Martin . Bokeloh. Part III - Overview. Shape deformation. Shape and Angles. Assumed knowledge. recall and use properties of angles. angles at a point. angles at a point on a straight line. perpendicular lines. vertically opposite angles. distinguish between scalene, isosceles, equilateral and right-angled triangles. Light Transients. Chia-Yin Tsai . (. Carnegie Mellon . University). Ashok . Veeraraghavan. . (Rice University). Aswin . C. . Sankaranarayanan. . (. Carnegie Mellon . University). Shape reconstruction. © 2012 Project Lead The Way, Inc.. Principles . of. . Engineering. Centroid Principles. Object’s center of gravity or center of mass. Graphically labeled as . Centroid Principles. Point of applied force caused by acceleration due to gravity. Walker Wieland. GEOG 342. Introduction. Isocluster. Unsupervised. Interactive Supervised . Raster Analysis. Conclusions. Outline. GIS work, watershed analysis. Characterize amounts of impervious cover (IC) at spatial extents . Introduction, Overview. Classification using Graphs. Graph classification – Direct Product Kernel. Predictive Toxicology example dataset. Vertex classification – . Laplacian. Kernel. WEBKB example dataset.